Curriculum Vitae
2023 - present VP Composable Process Platform Innovation (Development Senior Manager)
SAP Technology and Innovation
2024 - present Location Representative for SAP Innovation Center Potsdam
SAP SE
2020 - present Chair Representative of Prof. Hasso Plattner
Enterprise Platform and Integration Concepts
Hasso‐Plattner‐Institute, University of Potsdam
2019 - 2023 VP Strategic Projects (Development Senior Manager)
SAP Technology and Innovation
2015 - 2018 Head of Chairman Projects (Development Manager)
SAP Innovation Center Network
2014 - 2015 Software Developer and Researcher
SAP Innovation Center Potsdam
Future Corporate Management
Strategic Projects
Programming Models & Development Experience
2008 - 2013 Doctoral Studies (Dr.-Ing.) in Computer Science
supervised by Prof. Dr. Robert Hirschfeld, Software Architecture Group
Thesis: Test-driven Fault Navigation for Debugging Reproducible Failures
Research School on Service-oriented Systems Engineering
Hasso‐Plattner‐Institute, University of Potsdam
2007 - 2008 Master of Science (M.Sc.) in Software Engineering
Thesis: Explicit Use-case Representation in Object-oriented Programming Languages
Hasso‐Plattner‐Institute, University of Potsdam
2003 - 2007 Bachelor of Science (B.Sc.) in Software Engineering
Hasso‐Plattner‐Institute, University of Potsdam
1996 - 2003 Secondary School "Hermann-von-Helmholtz Gymnasium", Potsdam
1990 - 1996 Elementary School "Waldschule", Potsdam

Academic Service

  • Mentor for SAP.iO Foundry, powered by Techstars Accelerator
  • Student events chair at Modularity AOSD '12
  • Program committee member for PX/23, SOFTENG '23 (Industry/research advisory committee and technical committee), SKILLS '22, PX/22, SOFTENG '22 (Industry/research advisory committee and technical committee), SKILLS '21, PX/21, SOFTENG '21 (Industry/research advisory committee and technical committee), PX/20, SOFTENG '20 (Industry/research advisory committee and technical committee), PX/19, SOFTENG '19 (Industry/research advisory committee and technical committee), PX/18, SOFTENG '18 (Industry/research advisory committee and technical committee), OtC '17, PX/17.2, PX/17, SOFTENG '17 (Industry/research advisory committee and technical committee), PX/16, CROW '16, SOFTENG '16 (Research liaison and technical committee), VISSOFT '15 (NIER and Tool-Demo Tracks), SOFTENG '15 (Research liaison and technical committee), VISSOFT '14 (NIER and Tool-Demo Tracks), and DYLA '10
  • External reviewer
  • Co-supervised PhD theses
    • Stefan Halfpap. Integer Linear Programming-based Heuristics for Partially Replicated Database Clusters and Selecting Indexes. Hasso-Plattner-Institute. 2023.
    • Christopher Hagedorn. Parallel Execution of Causal Structure Learning on Graphics Processing Units. Hasso-Plattner-Institute. 2023.
    • Jan Kossmann. Unsupervised Database Optimization: Efficient Index Selection and Data Dependency-driven Query Optimization. Hasso-Plattner-Institute. 2023.
    • Günter Hesse. A Benchmark for Enterprise Stream Processing Architectures. Hasso-Plattner-Institute. 2022.
    • Markus Dreseler. Automatic Tiering for In-Memory Databases. Hasso-Plattner-Institute. 2022.
  • Co-supervised master theses
    • Leon Bein. Evidence-supported Agile Retrospectives. Hasso Plattner Institute. 2023.
    • David Hennemann. Online Marketplace Simulation: Dynamic pricing with strategic customer behavior. Hasso Plattner Institute. 2023.
    • Lars Jonas Bollmeier. Adaptive Data Layouting for Serverless Query Execution. Hasso Plattner Institute. 2023.
    • Fabian Heseding. Asset Management in Foundations. Hasso Plattner Institute. 2023.
    • Oliver Nordemann. Datengetriebene Optimierung von Werbestrategien im Online-Offline Handel. Hasso Plattner Institute. 2023.
    • Theo Radig. Single Node Performance for In-situ Serverless Query Processing. Hasso Plattner Institute. 2023.
    • Brian Pfitzmann. Enhancing Enterprise Software Documentation with Community Content. Hasso Plattner Institute. 2023.
    • Julius Streit. Towards Heuristic Integer Linear Programming-Based Index Selection Considering Multi-Attribute Indexes and Multi-Index Configurations. Hasso Plattner Institute. 2023.
    • Daniel Lindner. Workload-driven Query Optimization Using Data Dependencies. Hasso-Plattner-Institute. 2022.
    • Kenneth Schröder. Discussion of Reinforcement Learning Properties with Applications to Combinatorial Problems. Hasso-Plattner-Institute. 2022.
    • Pascal Schulze. Serverless Maintenance of Database Statistics and Cached Query Results. Hasso-Plattner-Institute. 2022.
    • Timon Millich. Cost-aware Pruning with Filters in Serverless Data Management. Hasso-Plattner-Institute. 2022.
    • Ben Hurdeley. Workload-driven Data Placement for Tierless In-Memory Database Systems. Hasso-Plattner-Institute. 2022.
    • Petr Tsayun. Workload-driven Fine-grained Index and Filter Selection for In-Memory Database Scan Acceleration. Hasso-Plattner-Institute. 2022.
    • David Justen. Efficiency and Robustness in Serverless Join Processing. Hasso-Plattner-Institute. 2021.
    • Tobias Nack. Incorporating Background Knowledge from Car Manufacturing into Constraint-based Causal Structure Learning. Hasso-Plattner-Institute. 2021.
    • Lukas Böhme. Efficient Data Transfer for Data Mediator Systems. Hasso-Plattner-Institute. 2021.
    • Julian Menzler. Query Compilation for Distributed Execution with Cloud Functions. Hasso-Plattner-Institute. 2021.
    • Milan Proell. Load Balancing Causal Structure Learning Algorithms in Heterogeneous Computing Systems. Hasso-Plattner-Institute. 2021.
    • Fabian Engel. Straggler identification and mitigation in massively distributed query execution on cloud functions. Hasso-Plattner-Institute. 2021.
    • Constantin Lange. Parallel Execution Strategies for Constraint-Based Causal Structure Learning with an Entropy-Based Conditional Independence Test. Hasso-Plattner-Institute. 2021.
    • Marcel Weisgut. Partial Indexes in Horizontally Partitioned In-Memory Databases. Hasso-Plattner-Institute. 2021.
    • Philipp Bode. Constraint-based Causal Structure Learning of Gene Regulatory Networks. Hasso-Plattner-Institute. 2020.
    • Matthias Flüggen. Anti-Caching for Hyrise. Hasso-Plattner-Institute. 2020.
    • Alexander Kastius. Reinforcement Learning for Dynamic Priocing under Competition. Hasso-Plattner-Institute. 2020.
    • Alexander Loeser. Automatic Clustering in Hyrise. Hasso-Plattner-Institute. 2020.
    • Jan Mensch. Elastic Query Execution via Short-lived and Stateless Cloud Functions. Hasso-Plattner-Institute. 2020.
    • Frederike Ramin. Perceived Contributions in Software Engineering Teams. Hasso-Plattner-Institute. 2020.
    • Daniel Thevessen. An Entropy-Based Conditional Independence Test for Constraint-Based Causal Structure Learning from Heterogeneous Data. Hasso-Plattner-Institute. 2020.
    • Benjamin Siegmund. Studying the Advancement in Debugging Practice of Professional Software Developers. Hasso-Plattner-Institut. 2014.
    • Lukas Niemeier. Tracking and Visualization of Object State Changes for Fault Localization. Hasso-Plattner-Institut. 2014.
    • Leonhard Schweizer. PathObjects – Revealing Object Interactions to Assist Developers in Program Comprehension. Hasso-Plattner-Institut. 2014.
    • Oliver Richter. Language Independent Software Development Tools - Introducing Smoopie: Path Tools in Eclipse. Hasso-Plattner-Institut. 2014.
    • Tim Felgentreff. Comparison, Replay, and Refinement of Communication Traces for Debugging Distributed Failures. Hasso-Plattner-Institut. 2012.
    • David Tibbe. Integration von Kontextdaten verschiedener Communitys am Beispiel von IYOUIT und Facebook. Hasso-Plattner-Institut. 2009.

Teaching

  • Massive Open Online Courses
  • Professional Education
  • Lectures
    • Trends and Concepts in the Software Industry I (together with Prof. Hasso Plattner, focus on cloud architectures, enterprise cloud platforms and busines applications, master course, summer term 2020-2022)
    • Software Engineering II (Bachelor course, winter term 2020/2021)
    • Scalable Software Engineering (Bachelor course, winter term 2021/2022-2022/2023)
    • Grundlagen der Datenverarbeitung in Unternehmensanwendungen (Bachelor course, summer term 2020)
    • Grundlagen von Unternehmensanwendungen (Bachelor course, summer term 2021)
    • Causal Inference - Theory and Applications in Enterprise Computing (together with Rainer Schlosser, master course, summer term 2020)
    • Data-Driven Decision-Making in Enterprise Applications (together with Rainer Schlosser, master course, summer term 2020)
  • Seminars
    • Trends and Concepts in the Software Industry II (together with Prof. Hasso Plattner, focus on development experience, adoption in the cloud, and business process analysis, master course, winter term 2020/2021-2022/2023; Starting with 2023/2024 together with Christian Klein and Philipp Herzig on Generative AI in business applications)
    • Rethink the User Experience of Business Applications (joint seminar course with Prof. Boris Müller (University of Applied Sciences Potsdam), winter term 2023/2024)
    • Develop Your Own Database (Seminar, Master course, summer term 2021-2022)
    • Research and Implementation of Database Topics (Seminar, Master course, winter term 2020/2021-2022/2023)
  • Bachelor Student Projects
    • Feedback to Code together with Prof. Ralf Herbrich and Prof. Gerard de Melo (2023-2024)
    • Flexible Business Software for Start-ups with SAP New Ventures and Technologies (2022-2023)
    • Market Simulation Framework with Feather @ SAP.iO (2021-2022)
    • Reinvent the Development Experience for the Intelligent Enterprise with SAP Graph (2020-2021)
    • Autopilot On: A Cockpit for Self-Driving Databases (2019-2020)
  • Master Student Projects
    • Extend Your Own Database: Larger-than-Memory Data Management for an In-Memory Database System (Winter term 2022/2023)
    • Resource Allocation for Scale-out Database Systems and Cloud (Summer term 2022)
    • GPU-Accelerated Causal Structure Learning (Winter term 2021/2022)
    • Building an Elastic Query Engine on Serverless Cloud Infrastructure (Summer term 2021)
    • Causal Inference Benchmark (Winter term 2020/2021)
    • Performance Engineering for Cloud-based Database Systems (Summer term 2020)
  • Lectures (with Prof. Dr. Robert Hirschfeld)
    • Software-Architecture (Bachelor course, winter term 2008/2009 - 2013/2014)
    • Software Engineering I (Bachelor course, summer term 2009 - 2016)
    • Meta-Programming and Reflection (Master course, winter term 2011/2012)
    • IT-Enterprise Architectures (Master course, summer term 2010, winter term 2012/2013)
  • Seminars (with Prof. Dr. Robert Hirschfeld)
    • Programming Language Concepts, Tools, and Environments (Master course, summer term 2012)
    • Agile Development (Master course, summer term 2010)
  • Co-supervised student projects (with Prof. Dr. Robert Hirschfeld)
    • Improved Navigation in Back-in-time Debuggers (Master project, winter term 2013/2014)
    • The Reflective Programmer (Master project, summer term 2011)
    • Programming Models for Data-intensive Applications (Bachelor project, 2011-2012)
    • Scripting Objects for the Web (Bachelor project, 2010-2011)
    • Digital Pub Life (Bachelor project, 2009-2010)
  • Other
    • Etoys workshop (Lecturer, course for pupils, summer term 2009, winter term 2009/2010)

Awards

2024 SAP Catalyst
2021 ACM Senior Membership Award for demonstrating performance through technical leadership and professional contributions.
2014 Winner of the Best App in SAP Tool-A-Thon 2014. Hangman-Notifications. Marius Obert, Michael Perscheid, Sebastian Schneider, Sebastian Woinar.
2009 Second Place for ESUG Innovation Technology Awards - PhidgetLab

Best Master’s Degree in Software Engineering at the Hasso-Plattner-Institute
2007 Third-best Bachelor’s Degree in Software Engineering at the Hasso-Plattner-Institute
2003 Third place for Brandenburg’s competition in computer science

Patents

  • Gregor Berg, Bernhard Höppner, Stefan Krumnow, Michael Perscheid, Ralf Teusner. BPaaS: Compatibility Checks. Published on 11. January 2024. Publication number: 17/859,303.
  • Jan Kossmann, Rainer Schlosser, Alexander Kastius, Michael Perscheid, Hasso Plattner. Training an Agent for Iterative Multi-attribute Index Selection. Published on 05. October 2023. Publication number: 18/167,667.
  • Marco Kroll, Lutz Gericke, Michael Perscheid, Alexander Boehm. Extension Application Mechanisms Through Intra-Process Operation Systems. Published on 29. July 2021. Publication number: US2021232416A1

Advising and Coaching

Various